Identification of Vulnerable Kernel Code Using Kernel Tracing Mechanism
Author:
Affiliation:
1. Graduate School of Engineering, Kobe University
2. Faculty of Natural Science and Technology, Okayama University
Publisher
Information Processing Society of Japan
Subject
General Computer Science
Link
https://www.jstage.jst.go.jp/article/ipsjjip/31/0/31_788/_pdf
Reference38 articles.
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2. [2] Linux Vulnerability Statistics, CVE Details (online), available from <https://www.cvedetails.com/vendor/33/Linux.html> (accessed 2023-02-28).
3. [3] Kuzuno, H. and Yamauchi, T.: vkTracer: Vulnerable Kernel Code Tracing to Generate Profile of Kernel Vulnerability, Proc. 23rd World Conference on Information Security Applications (2022).
4. [4] Kurmus, A., Dechand, S. and Kapitza, R.: Quantifiable Run-Time Kernel Attack Surface Reduction, Proc. 11th International Conference on Detection of Intrusions and Malware, and Vulnerability Assessment, LNCS, Vol.8550, pp.212-234 (online), DOI: 10.1007/978-3-319-08509-8_12 (2014).
5. [5] Zhang, Z., Cheng, Y., Nepal, S., Liu, D., Shen, Q. and Rabhi, F.: KASR: A reliable and practical approach to attack surface reduction of commodity os kernels, Proc. 21st International Symposium on Research in Attacks, Intrusions, and Defenses, LNCS, Vol.11050, pp.691-710 (online), DOI: 10.1007/978-3-030-00470-5_32 (2018).
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